ArtificialIntelligenceArticles
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for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience

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Using Machine Learning to Predict the Evolution of Physics Research

paper : https://arxiv.org/abs/1810.12116 @ArtificialIntelligenceArticles
New research group at Oxford Comp Sci!

Oxford Applied and Theoretical Machine Learning Group (OATML): https://oatml.cs.ox.ac.uk/

#artificialintelligence #bigdata #machinelearning #neuralnetworks
Efficiently measuring a quantum device using machine learning

Lennon et al.: https://arxiv.org/abs/1810.10042

#ArtificialInteligence #QuantumPhysics #Research #Physics #MachineLearning
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NVIDIA researchers developed a #GPU-accelerated reinforcement learning simulator that can teach a virtual robot human-like tasks in record time

https://goo.gl/uToK8K @ArtificialIntelligenceArticles
There's a new #nips2018 D&I co-chair's webpage
With child care diversity workshops and other affinity group information; accessibility and other inclusion notices https://nips2018inclusion.weebly.com
Machine learning & artificial intelligence in the quantum domain - An overview of recent advances
paper : https://arxiv.org/abs/1709.02779 @ArtificialIntelligenceArticles
Preprint: Atlases of cognition with large-scale brain mapping
https://hal.inria.fr/hal-01908189 @ArtificialIntelligenceArticles
GitXiv — Collaborative Open Computer Science

https://www.gitxiv.com/

"GitXiv is a space to share links to open computer science projects. Countless Github and arXiv links are floating around the web. Its hard to keep track of these gems. GitXiv attempts to solve this problem by offering a collaboratively curated feed of projects. Each project is conveniently presented as arXiv + Github + Links + Discussion. Users can submit their findings and let the community rank and discuss it. A regular newsletter makes it easy to stay up-to-date on recent advancements. It´s free and open."

@ArtificialIntelligenceArticles
Spectral Signatures in [Neural Net] Backdoor Attacks

paper: https://arxiv.org/abs/1811.00636
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing #emnlp2018

https://aclanthology.coli.uni-saarland.de/events/emnlp-2018#D18-1
"Writing Code for NLP Research" tutorial at #emnlp2018

Slides by the Allen Institute for Artificial Intelligence: https://docs.google.com/presentation/d/17NoJY2SnC2UMbVegaRCWA7Oca7UCZ3vHnMqBV4SUayc/e
45 years ago today TCP/IP was born
Paper by Vint Cerf & Bob Kahn describing a protocol for sending packets across networks: https://www.cs.princeton.edu/courses/archive/fall06/cos561/papers/cerf74.pdf
"Machine learning and artificial intelligence in the quantum domain"

By Vedran Dunjko, Hans J. Briegel: https://arxiv.org/abs/1709.02779
Democratizing the Promise of Artificial Intelligence 😍

AI Commons is an international nonprofit organization seeking to gather a true ecosystem to democratize access to AI capabilities, to allow anyone, anywhere to benefit from the possibilities that AI can provide.

WebSite: https://www.aicommons.com/
A Corpus for Reasoning About Natural Language Grounded in Photographs

Suhr et al.: https://arxiv.org/abs/1811.00491

GitHub: https://github.com/clic-lab/nlvr